Bioinformatician (Oxford University)

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Amar Annamalai
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Bioinformatician (Oxford University)

Bioinformatician (Oxford University)
Based on-site, Oxford


We now have an exciting and unique opportunity for you to work in conjunction with the Wellcome Trust Centre for Human Genetics at Oxford University. Ambitious and dynamic, you will join a fast-paced, global Life Sciences organisation and be given the opportunity to work on cutting-edge, next generation sequencing (NGS) technologies.
 
You will work on the data analysis and software for applying the Ion Torrent semiconductor sequencing platform to cancer genomics. This project aims to develop an NGS-based test to replace methods currently in use.
 
In this role, you will work directly with the partner, Oxford University, being part of a small team from Life Technologies that resides at the partner site. You will be responsible for liaising with the partner and internal development teams to resolve issues related to data analysis, including issues with software and the relevant computing environment.
 
You may also develop tools for next generation sequence analysis, and perform custom data analysis. Working with scientists at Oxford and Life Technologies, you will identify and prioritise opportunities and methods to improve the analysis methods and software.
 
Key Responsibilities:
• Provide data analysis support for NGS analysis workflows suitable for running in a clinical laboratory.  This may include troubleshooting, problem-solving and scripting work to resolve issues.
• Develop analysis workflows using Life Technologies software and other software, as required.
• Co-ordinate with Life Technologies support and development teams to resolve issues at the partner site.
• Gather feedback from partners to help the product management team prioritise requirements for future hardware and software releases.
• Contribute to development of a database for storing NGS and clinical data.
 
Requirements:
• Masters or PhD in bioinformatics, computer science, statistics, or equivalent experience.
• Minimum of 1-2 years of experience in bioinformatics and data analysis.
• Practical experience with open source bioinformatics tools.
• Experience in data analysis of next-generation sequencing data.
• Demonstrated software development skills, including some of the following: Java, Python, Perl, C++
• Relational database experience would be an advantage.
• Knowledge of cancer genomics is a distinct advantage.
• Knowledge and experience of statistics is a plus.
• Demonstrated written and verbal communication and presentation skills focused on medical and research staff of all levels.
• Ability to work effectively in a cross-functional, multi-partner team setting.

Deadline: Wednesday, 3 July 2013

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